基于Python的测量数据精度鉴定的预处理方法

A Preprocessing Method of Precision Appraisal for Measurement Data Based on Python

针对测控设备在精度鉴定中存在数据时间未对齐、时间格式错误、数据不连续等问题,探讨测控设备在精度鉴定中数据预处理的一些具体方法。本文首先对数据预处理的流程及工具进行简要介绍,然后指出了测量数据与精密轨道数据之间存在的时间未对齐、时间格式错误等问题,并提出了借助Python的第三方库函数Numpy和Pandas实现对应问题的解决方法,最终给出处理前后的结果对比。结果证明,本文给出的数据预处理的方法行之有效,能够有效解决测控设备精度鉴定中数据间存在的问题,对精度鉴定的数据预处理方面具有一定的借鉴意义。

Aiming at the problems of data time unalignment, time format error and data discontinuity in precision appraisal of measurement and control equipment, this paper discusses some specific methods of data preprocessing in precision appraisal for measurement and control equipment. This paper first briefly introduces the flow of data preprocessing and tools, and then points out that there are some problems between the measured data and the precision orbit data, such as time misa-lignment, time format error and so on, and puts forward the solution to the corresponding problem with the help of Python’s third-party library functions like numpy and pandas, and finally gives the results of the comparison before and after processing.